OBIA based hierarchical image classification for industrial lake water

Area of Science:

• Environmental Science
• Hydrology
• Industrial Ecology

Background:

• Acigol Lake is a vital wetland for sodium sulfate (Na2SO4) production.
• It serves as a critical habitat for endemic species and a stopover for migratory birds, including flamingos.
• Sustainable water management is crucial for both industrial activities and environmental preservation in this region.

Purpose of the Study:

• To assess the current water status in Acigol Lake for sustainable resource management.
• To classify industrial ponds based on Baumé values and lake water based on depth.
• To provide data for decision-making regarding water levels and environmental protection.

Main Methods:

• Hierarchical classification method applied to industrial ponds and lake water.
• In-situ measurements of Baumé values for industrial ponds.
• In-situ measurements of water depth for the lake, linked to critical water levels.

Main Results:

• Classification of industrial ponds and lake water regions with approximately 80% accuracy.
• Data illustrates the water status in two main regions on a specific date.
• Identified critical water level considerations for regulatory authorities.

Conclusions:

• The study provides valuable insights for industrial firms and environmental researchers.
• Data supports informed decision-making for sustainable resource management in Acigol Lake.
• Highlights the unique ecological characteristics necessitating specific management strategies.